Vertical and horizontal autoscaling on Kubernetes Engine
GKE best practices: Designing and building highly available clusters → https://goo.gle/332yPMV
Critter Junction’s traffic is set to increase exponentially, and their current infrastructure can’t meet their traffic needs. In this episode of Season of Scale, Carter Morgan shows you how to leverage Google Kubernetes Engine vertical and horizontal autoscaling to better manage workloads, or to modify resources provisioned to an individual service. Watch to learn how vertical and horizontal scaling can help you make easily scalable applications!
0:00 – Intro
0:47 – Horizontal Pod Autoscaling
1:43 – Cluster Autoscaling
2:10 – Horizontal vs. Vertical scaling
2:37 – Vertical Pod Autoscaling
3:18 – Conclusion
Watch more episodes of Season of Scale → https://goo.gle/SeasonofScale
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Product: Application Architecture, HPA, VPA, CA; fullname: Carter Morgan;
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4 Comments
guillaume blaquiere
May 23, 2022 06:53 amWow, great!!! However a question: what are the trigger to vertical scale up and down the pods? are the same as for the horizontal scale (memory, cpu, custom)? If so, what is the strategy? Does the pod start to scale up, and then (when the scale up limits are reached) scale out?
OSFBRO
May 23, 2022 06:53 amhi google!
Ashu Pal
May 23, 2022 06:53 amThanks for sharing
Dhatrik Siripragada
May 23, 2022 06:53 amNice video, thank you it was great!